ERROR: for caddy Cannot start service caddy: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error mounting “/Caddyfile” to rootfs at “/etc/caddy/Caddyfile”: mount /Caddyfile:/etc/caddy/Caddyfile (via /proc/self/fd/6), flags: 0x5000: not a directory: unknown: Are you trying to mount a directory onto a file (or vice-versa)? Check if the specified host path exists and is the expected type
git clone --depth=1 --branch master https://gitlab.com/bramw/baserow.git
cd baserow
cp .env.example .env
# Edit .env and set your own secure passwords for the 3 required variables at the top.
gedit .env
docker-compose up -d
# Most users should only need to set these first four variables.
SECRET_KEY: ${SECRET_KEY:?}
BASEROW_JWT_SIGNING_KEY: ${BASEROW_JWT_SIGNING_KEY:-}
DATABASE_PASSWORD: ${DATABASE_PASSWORD:?}
REDIS_PASSWORD: ${REDIS_PASSWORD:?}
# If you manually change this line make sure you also change the duplicate line in
# the web-frontend service.
BASEROW_PUBLIC_URL: ${BASEROW_PUBLIC_URL-http://localhost}
# Set these if you want to use an external postgres instead of the db service below.
DATABASE_USER: ${DATABASE_USER:-baserow}
DATABASE_NAME: ${DATABASE_NAME:-baserow}
DATABASE_HOST:
DATABASE_PORT:
DATABASE_URL:
# Set these if you want to use an external redis instead of the redis service below.
REDIS_HOST:
REDIS_PORT:
REDIS_PROTOCOL:
REDIS_URL:
REDIS_USER:
# Set these to enable Baserow to send emails.
EMAIL_SMTP:
EMAIL_SMTP_HOST:
EMAIL_SMTP_PORT:
EMAIL_SMTP_USE_TLS:
EMAIL_SMTP_USER:
EMAIL_SMTP_PASSWORD:
FROM_EMAIL:
# Set these to use AWS S3 bucket to store user files.
AWS_ACCESS_KEY_ID:
AWS_SECRET_ACCESS_KEY:
AWS_STORAGE_BUCKET_NAME:
AWS_S3_REGION_NAME:
AWS_S3_ENDPOINT_URL:
AWS_S3_CUSTOM_DOMAIN:
# Misc settings see https://baserow.io/docs/installation%2Fconfiguration for info
BASEROW_AMOUNT_OF_WORKERS:
BASEROW_ROW_PAGE_SIZE_LIMIT:
BATCH_ROWS_SIZE_LIMIT:
INITIAL_TABLE_DATA_LIMIT:
BASEROW_FILE_UPLOAD_SIZE_LIMIT_MB:
BASEROW_EXTRA_ALLOWED_HOSTS:
ADDITIONAL_APPS:
BASEROW_PLUGIN_GIT_REPOS:
BASEROW_PLUGIN_URLS:
BASEROW_ENABLE_SECURE_PROXY_SSL_HEADER:
MIGRATE_ON_STARTUP: ${MIGRATE_ON_STARTUP:-true}
SYNC_TEMPLATES_ON_STARTUP: ${SYNC_TEMPLATES_ON_STARTUP:-true}
DONT_UPDATE_FORMULAS_AFTER_MIGRATION:
BASEROW_TRIGGER_SYNC_TEMPLATES_AFTER_MIGRATION:
BASEROW_SYNC_TEMPLATES_TIME_LIMIT:
BASEROW_BACKEND_DEBUG:
BASEROW_BACKEND_LOG_LEVEL:
FEATURE_FLAGS:
PRIVATE_BACKEND_URL: http://backend:8000
PUBLIC_BACKEND_URL:
PUBLIC_WEB_FRONTEND_URL:
MEDIA_URL:
MEDIA_ROOT:
BASEROW_AIRTABLE_IMPORT_SOFT_TIME_LIMIT:
HOURS_UNTIL_TRASH_PERMANENTLY_DELETED:
OLD_ACTION_CLEANUP_INTERVAL_MINUTES:
MINUTES_UNTIL_ACTION_CLEANED_UP:
BASEROW_GROUP_STORAGE_USAGE_ENABLED:
BASEROW_GROUP_STORAGE_USAGE_QUEUE:
BASEROW_COUNT_ROWS_ENABLED:
DISABLE_ANONYMOUS_PUBLIC_VIEW_WS_CONNECTIONS:
BASEROW_WAIT_INSTEAD_OF_409_CONFLICT_ERROR:
BASEROW_FULL_HEALTHCHECKS:
BASEROW_DISABLE_MODEL_CACHE:
BASEROW_PLUGIN_DIR:
BASEROW_JOB_EXPIRATION_TIME_LIMIT:
BASEROW_JOB_CLEANUP_INTERVAL_MINUTES:
BASEROW_MAX_ROW_REPORT_ERROR_COUNT:
BASEROW_JOB_SOFT_TIME_LIMIT:
BASEROW_FRONTEND_JOBS_POLLING_TIMEOUT_MS:
BASEROW_INITIAL_CREATE_SYNC_TABLE_DATA_LIMIT:
BASEROW_MAX_SNAPSHOTS_PER_GROUP:
BASEROW_SNAPSHOT_EXPIRATION_TIME_DAYS:
BASEROW_WEBHOOKS_ALLOW_PRIVATE_ADDRESS:
BASEROW_WEBHOOKS_IP_BLACKLIST:
BASEROW_WEBHOOKS_IP_WHITELIST:
BASEROW_WEBHOOKS_URL_REGEX_BLACKLIST:
BASEROW_WEBHOOKS_URL_CHECK_TIMEOUT_SECS:
BASEROW_WEBHOOKS_MAX_CONSECUTIVE_TRIGGER_FAILURES:
BASEROW_WEBHOOKS_MAX_RETRIES_PER_CALL:
BASEROW_WEBHOOKS_MAX_PER_TABLE:
BASEROW_WEBHOOKS_MAX_CALL_LOG_ENTRIES:
BASEROW_WEBHOOKS_REQUEST_TIMEOUT_SECONDS:
BASEROW_PERMISSION_MANAGERS:
services:
# A caddy reverse proxy sitting in-front of all the services. Responsible for routing
# requests to either the backend or web-frontend and also serving user uploaded files
# from the media volume.
caddy:
image: caddy:2
restart: unless-stopped
environment:
# Controls what port the Caddy server binds to inside its container.
BASEROW_CADDY_ADDRESSES: ${BASEROW_CADDY_ADDRESSES:-:80}
PRIVATE_WEB_FRONTEND_URL: ${PRIVATE_WEB_FRONTEND_URL:-http://web-frontend:3000}
PRIVATE_BACKEND_URL: ${PRIVATE_BACKEND_URL:-http://backend:8000}
ports:
- "${HOST_PUBLISH_IP:-0.0.0.0}:${WEB_FRONTEND_PORT:-80}:80"
- "${HOST_PUBLISH_IP:-0.0.0.0}:${WEB_FRONTEND_SSL_PORT:-443}:443"
volumes:
- $PWD/Caddyfile:/etc/caddy/Caddyfile
- media:/baserow/media
- caddy_config:/config
- caddy_data:/data
healthcheck:
test: [ "CMD", "wget", "--spider", "http://localhost/caddy-health-check" ]
interval: 10s
timeout: 5s
retries: 5
networks:
local:
backend:
image: baserow/backend:1.13.3
restart: unless-stopped
environment:
<<: *backend-variables
depends_on:
- db
- redis
volumes:
- media:/baserow/media
networks:
local:
web-frontend:
image: baserow/web-frontend:1.13.3
restart: unless-stopped
environment:
BASEROW_PUBLIC_URL: ${BASEROW_PUBLIC_URL-http://localhost}
PRIVATE_BACKEND_URL: ${PRIVATE_BACKEND_URL:-http://backend:8000}
PUBLIC_BACKEND_URL:
PUBLIC_WEB_FRONTEND_URL:
BASEROW_DISABLE_PUBLIC_URL_CHECK:
INITIAL_TABLE_DATA_LIMIT:
DOWNLOAD_FILE_VIA_XHR:
BASEROW_DISABLE_GOOGLE_DOCS_FILE_PREVIEW:
HOURS_UNTIL_TRASH_PERMANENTLY_DELETED:
DISABLE_ANONYMOUS_PUBLIC_VIEW_WS_CONNECTIONS:
FEATURE_FLAGS:
ADDITIONAL_MODULES:
BASEROW_MAX_IMPORT_FILE_SIZE_MB:
BASEROW_MAX_SNAPSHOTS_PER_GROUP:
depends_on:
- backend
networks:
local:
celery:
image: baserow/backend:1.13.3
restart: unless-stopped
environment:
<<: *backend-variables
command: celery-worker
# The backend image's baked in healthcheck defaults to the django healthcheck
# override it to the celery one here.
healthcheck:
test: [ "CMD-SHELL", "/baserow/backend/docker/docker-entrypoint.sh celery-worker-healthcheck" ]
depends_on:
- backend
volumes:
- media:/baserow/media
networks:
local:
celery-export-worker:
image: baserow/backend:1.13.3
restart: unless-stopped
command: celery-exportworker
environment:
<<: *backend-variables
# The backend image's baked in healthcheck defaults to the django healthcheck
# override it to the celery one here.
healthcheck:
test: [ "CMD-SHELL", "/baserow/backend/docker/docker-entrypoint.sh celery-exportworker-healthcheck" ]
depends_on:
- backend
volumes:
- media:/baserow/media
networks:
local:
celery-beat-worker:
image: baserow/backend:1.13.3
restart: unless-stopped
command: celery-beat
environment:
<<: *backend-variables
# See https://github.com/sibson/redbeat/issues/129#issuecomment-1057478237
stop_signal: SIGQUIT
# We don't yet have a healthcheck for the beat worker, just assume it is healthy.
healthcheck:
test: [ "CMD-SHELL", "exit 0" ]
depends_on:
- backend
volumes:
- media:/baserow/media
networks:
local:
db:
image: postgres:11
restart: unless-stopped
environment:
- POSTGRES_USER=${DATABASE_USER:-baserow}
- POSTGRES_PASSWORD=${DATABASE_PASSWORD:?}
- POSTGRES_DB=${DATABASE_NAME:-baserow}
healthcheck:
test: [ "CMD-SHELL", "su postgres -c \"pg_isready -U ${DATABASE_USER:-baserow}\"" ]
interval: 10s
timeout: 5s
retries: 5
networks:
local:
volumes:
- pgdata:/var/lib/postgresql/data
redis:
image: redis:6
command: redis-server --requirepass ${REDIS_PASSWORD:?}
healthcheck:
test: [ "CMD", "redis-cli", "ping" ]
networks:
local:
# By default, the media volume will be owned by root on startup. Ensure it is owned by
# the same user that django is running as, so it can write user files.
volume-permissions-fixer:
image: bash:4.4
command: chown 9999:9999 -R /baserow/media
volumes:
- media:/baserow/media
networks:
local:
volumes:
pgdata:
media:
caddy_data:
caddy_config:
networks:
local:
driver: bridge
So for the caddy config there is $PWD/Caddyfile:/etc/caddy/Caddyfile this appears to be causing the issue.
The file looks like it is there, have you checked the contents of it to make sure it downloaded ok?
There is a simpler way to get it running by using the config from dockerhub as well, I probably won’t get near my laptop today to test what you are doing but I would start with that file as that is what docker is complaining about.
So that looks like the Redis environment variables might not be correct, it could be worth removing any environment variable you don’t set so that it doesn’t confuse anything then delete all the images and start again with just the minimum.
Now that I don’t have an answer for, I have not used the Airtable import function before. It could be one for the team once they are back from the Christmas break.
